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Did you actually read the article? What makes you think it was generated by AI?

LinkedIn's AI team shares how they built a scalable and accurate system that extracts skills from various content shared on the platform, such as resumes, job descriptions, and courses. The extracted skills are used to power LinkedIn's Skills Graph, which dynamically maps the relationship between skills, people, and companies and improves the relevance of recommendations on the platform. The article contains key takeaways for product leaders who want to leverage AI to enhance their product experience and deliver value faster to their customers.

The author shares some tips and prompts for writing a clear and compelling product narrative using GenAI as a powerful AI assistant that can help with brainstorming, outlining, drafting, and revising. The article follows the structure of Amazon’s 6-pager format, which includes sections such as intro, goals, tenets, state of the business, lessons learned, and strategic priorities. The author also provides some examples of how to use GenAI to generate ideas and insights for each section. The article is aimed at product builders who want to improve their decision-making and innovation process with GenAI.

“The eyes of the world, and particularly the eyes of labor, are upon us,” Fran Drescher said at a news conference this summer.

Fran Drescher is known for her role as Fran Fine in the television sitcom The Nanny. Seeing her again brought back fond childhood memories of watching TV. But this time, she was on TV as a trade union leader. She is currently serving as the national president of the Screen Actors Guild - American Federation of Television and Radio Artists (SAG-AFTRA). And she is pretty eloquent as a leader and public speaker. Her confident gaze and voice of sincerity captured my attention from the first sentence.

In René Girard’s mimetic theory, the "coquette" is someone who pretends to be indifferent to others but hopes that others imitate their desire for themselves.

I found an instructive study on how Instagram incentivizes this behavior.

I explore the study in this post.

Tech is a rare space where being a latecomer can be a massive competitive advantage. We call this effect "leapfrog innovation." But does it always have to be forward?

Some time ago, you were coding your app, and it was executing your orders. Today, generative AI does pretty much whatever it wants. At identical initial conditions, the responses of a model may be different. To the point of worrying the AI developer community. Deepmind released a proposed model to assess risk a few weeks ago. What impact on the very notion of responsibility?

"Is the GAI creative?" or "Will GAI replace us?" aren't the right questions. The real challenge is to include GAI in every aspect of your work to generate novel ideas.

Exploring the definition of art, uncovering hidden meanings, and the potential of AI as a tool for artistic expression.

Exploring the power of unconventional paths, risk-taking, and personal taste in creative endeavors.

Exploring how Starbucks embraced technology to transform into a digital powerhouse and create innovative experiences for customers.

Exploring the role of a manager in creating an environment that empowers team members to excel. Stepping back might be the best thing a manager could do.

Discovering the counterintuitive approach to writing that will help your readers change their ideas.

Why getting your hands dirty might not always be the best strategy.

Differentiating an intention from a commitment is key to strengthened credibility.

From 3 minutes in the 1950s to less than 2 seconds today. What made such an improvement possible? The history of pit stops contains useful innovation principles for hackers.